Over the last two decades, the diagnosis and treatment of breast cancer patients have considerably improved. However, brain metastases remain a major clinical challenge and a leading cause of mortality. Thus, a better understanding of the pathways involved in the metastatic cascade is essential.
View Article and Find Full Text PDFCancer exploits different mechanisms to escape T-cell immunosurveillance, including overexpression of checkpoint ligands, secretion of immunosuppressive molecules, and aberrant glycosylation. Herein, we report that IFNγ, a potent immunomodulator secreted in the tumor microenvironment, can induce α2,6 hypersialylation in cancer cell lines derived from various histologies. We focused on Siglec-9, a receptor for sialic acid moieties, and demonstrated that the Siglec-9+ T-cell population displayed reduced effector function.
View Article and Find Full Text PDFPurpose: Current guidelines for the management of metastatic non-small cell lung cancer (NSCLC) without driver mutations recommend checkpoint immunotherapy with PD-1/PD-L1 inhibitors, either alone or in combination with chemotherapy. This approach fails to account for individual patient variability and host immune factors and often results in less-than-ideal outcomes. To address the limitations of the current guidelines, we developed and subsequently blindly validated a machine learning algorithm using pretreatment plasma proteomic profiles for personalized treatment decisions.
View Article and Find Full Text PDFLung cancer is the leading cause of cancer-related mortality worldwide. Early detection is essential to achieving a better outcome and prognosis. Volatile organic compounds (VOCs) reflect alterations in the pathophysiology and body metabolism processes, as shown in various types of cancers.
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